On Practical Realisation of Autosegmental Representations in Lexical Transducers of Tonal Bantu Languages

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

A lexical transducer is a language technology resource that is typically used to predict the orthographic word forms and to model the relation between the lexical and the surface word forms of a morphologically complex language. This paper motivates the construction of tone-enhanced lexical transducers for tonal languages and gives two supporting arguments for the feasibility of finite-state compilation of autosegmental derivations. According to the Common Timeline Argument, adding a common timeline to autosegmental representations is crucial for their computational processing. According to the Compilation Argument, the compilation of autosegmental grammars requires combining code-theoretic and model-theoretic research lines.
Alkuperäiskielienglanti
OtsikkoProceedings of the Language Technologies for All (LT4All)
ToimittajatGilles Adda, Khalid Choukri, Irmgarda Kasinskaite-Buddeberg, Joseph Mariani, Hélène Mazo, Sakti Sakriani
Sivumäärä4
JulkaisupaikkaParis
KustantajaEuropean Language Resources Association (ELRA)
Julkaisupäivä2020
Sivut346-349
ISBN (painettu)979-10-95546-33-7
TilaJulkaistu - 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaLT4All – International Conference on Language Technologies for All 2019: Enabling Linguistic Diversity and Multilingualism Worldwide - UNESCO Headquarters, 7, place de Fontenoy, 75007, Paris, France , Paris, Ranska
Kesto: 4 jouluk. 20196 jouluk. 2019
https://en.unesco.org/events/international-conference-language-technologies-all-lt4all-enabling-linguistic-diversity-and

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